Different studies have been done in different areas related to viral load count; some of them are joint modeling of incidence of TB and change in viral load over time [15], determinants of viral load suppression among HIV-positive adults [16], factors linked to recent unsuppressed viral load in HIV-1-infected patients [17], machine learning to predict viral load failure [18], and monitoring plasma viral load and CD4 count. The gene discussed is CD4; the disease is tuberculosis.